Enter OTP
Offered through the College of Natural Sciences, the BS in Statistics and Data Science (SDS) at UT Austin is a rigorous 120-credit program that blends statistical theory, practical data analysis, and machine learning. Designed to prepare students for the full lifecycle of data science, the curriculum includes training in programming, databases, and interdisciplinary applications—while emphasizing ethics and societal impacts of data use.
Students graduate with skills in data visualization, inference, modeling, and statistical computing, ready to enter high-demand roles or pursue graduate study in related fields.
Ranking Highlights:
UT Austin is ranked among the Top 10 U.S. public universities (U.S. News & World Report, 2024)
The College of Natural Sciences is a nationally recognized STEM hub with strong research output and industry partnerships
Course Overview
Major Core Courses (22 credit hours):
Introduction to Data Science
Statistical Thinking
Probability & Statistical Inference
Intermediate Statistical Methods
Practical Machine Learning
Advanced Statistical Methods
Case Studies in Data Science
Mathematical & Computational Foundations:
Calculus
Linear Algebra
Programming
Database
SDS Electives (Choose from):
Bayesian Statistics
Data Visualization
Statistical Theory
Sports Analytics
Time Series Forecasting
Free Electives:
Any courses to reach 120-hour graduation minimum
General Education Core:
Includes writing, government, U.S. history, science, and humanities
Project-based courses such as Case Studies in Data Science
Access to faculty-mentored research, internships, and capstone-like electives
Hands-on work in data cleaning, visualization, inference, and modeling
Opportunities to contribute to interdisciplinary projects in healthcare, social science, environmental studies, sports, and more
Strong career outcomes in finance, healthcare, consulting, tech, and academia
Ideal preparation for graduate study in statistics, biostatistics, data science, machine learning, or applied mathematics
Employers value graduates' ability to:
Analyze and interpret complex data
Build predictive models
Translate findings into actionable insights
Evaluate emerging tools and technologies
TOEFL ibT of 79, Interview with Admissions Representative, IELTS minimum required score of 6.5 overall band.Only open to freshman applicants; transfer applications are not currently acceptedRequires a total of 120 semester hours to graduateApplicants must apply through UT Austin’s regular freshman admissions process and select Statistics and Data Science as their intended majorSubmit official academic transcripts (with certified English translations if not originally in English)Demonstrate English proficiency by submitting official TOEFL or IELTS scores unless exempt (for example, if you graduated from a U.S. high school or a qualifying country)Meet all other university and college admission requirements (such as standardized test scores if required, essays, etc.)Data ScientistStatisticianData AnalystBusiness Intelligence AnalystResearch ScientistMachine Learning Engineer
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University of Texas Austin
